Application of lidar to current atmospheric topics

Conference · Tue Dec 31 04:00:00 EST 1996

OSTI ID:492278

Sedlacek, III, A J ^[1]

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1. ed.; Brookhaven National Lab., Upton, NY (United States). Dept. of Advanced Technology

The goal of the conference was to address the various applications of lidar to topics of interest in the atmospheric community. Specifically, with the development of frequency-agile, all solid state laser systems, high-quantum-efficiency detectors, increased computational power along with new and more powerful algorithms, and novel detection schemes, the application of lidar to both old and new problems has expanded. This expansion is evidenced by the contributions to the proceedings, which demonstrate the progress made on a variety of atmospheric remote sensing problems, both theoretically and experimentally. The first session focused on aerosol, ozone, and temperature profile measurements from ground-based units. The second session, Chemical Detection, provided applications of lidar to the detection of atmospheric pollutants. Papers in the third session, Wind and Turbulence Measurements, described the Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS) experiments, Doppler techniques for ground-based wind profiling and mesopause radial wind and temperature measurements utilizing a frequency-agile lidar system. The papers in the last two sessions, Recent Advanced in Lidar Technology and Techniques and Advanced Operational Lidars, provided insights into novel approaches, materials, and techniques that would be of value to the lidar community. Papers have been processed separately for inclusion on the data base.

• OSTI ID: 492278
• Report Number(s): CONF-960848--; ISBN 0-8194-2221-5
• Country of Publication: United States
• Language: English

Related Subjects

44 INSTRUMENTATION
INCLUDING NUCLEAR AND PARTICLE DETECTORS
54 ENVIRONMENTAL SCIENCES
AEROSOLS
AIR POLLUTION MONITORING
AMBIENT TEMPERATURE
ATMOSPHERIC CHEMISTRY
LEADING ABSTRACT
MEETINGS
OPTICAL RADAR
OZONE
RAMAN SPECTROSCOPY
REMOTE SENSING
WIND